Machine Learning Scientist developing and deploying novel methods for optical connectomics at E11 Bio. Collaborating with experts to transform microscopy data into synaptic connectivity information.
Responsibilities
Develop, implement, and evaluate scalable pipelines for synapse detection and partner assignment in large-scale optical connectomics datasets, integrating morphological and protein labeling information
Collaborate with wet lab scientists and domain experts to develop methods for detecting and classifying cellular and synaptic subtypes
Take ownership of structuring and organizing connectivity data into well-defined data models, and building developer-facing tooling to maximize the long-term usability, accessibility, and impact of generated connectivity data
Assist in any ML-adjacent image processing needs that may arise during scaling of the processing and analysis pipeline (e.g. image volume registration, multimodal feature extraction, label-free prediction etc.)
Collaborate closely with users and stakeholders to deliver clear, accurate, and actionable connectivity information
Partner with wet lab, microscopy, and computational teams to optimize data analysis workflows and inform data acquisition strategies
Requirements
Ph.D. in computer science, machine learning, applied math, computational biology or a related field in science and/or engineering or Ph.D.-equivalent publication history
3-5 years of relevant work or research experience, with strong history of independent and autonomous execution of novel ML solutions
Strong background in computer vision and applying ML tools to the analysis of large microscopy data sets
Experience with software engineering best practices (e.g. version control, code reviews, etc)
Excellent communication and collaboration skills, record keeping ability, and attention to detail
Benefits
Excellent medical, dental, and vision insurance through a PPO plan; parental leave
Generous time off + paid holidays
Ample healthy and energizing food including daily lunches
Wellness allowance for fitness and wellness activities
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